The Asia Pacific Agriculture Analytics Market should witness market growth of 14.1% CAGR during the forecast period (2023-2030).
Increasing government initiatives to implement enhanced agricultural techniques is the main driver of growth factor for the market. In the agriculture industry, data volumes are expanding exponentially. Increasing adoption of Internet of Things (IoT) devices that collect data from connected farm equipment, such as smart tractors and drones, is also fueling the expansion of agriculture analytics. Crop cultivators and agribusiness actors recognize the potential for unearthing advancements in plant genomics, livestock management, soil health, and the accelerated development of new technologies based on big data and analytics.
Agriculture researchers are utilizing artificial intelligence and data science to conduct predictive analytics on farms before delivering actionable insights to farmers. The increasing subscription-based service model seeks to reduce costs for producers and provide them with real-time crop condition updates. In addition, predictive models and daily task optimization will give them complete control over their future harvest.
In order to keep the highest crop yield andquality to meet the nation’s growing demand for food, there is a growing demand for modern agricultural technologies. The increasing expenditures of the Indian government on research and development (R&D) projects to support advances in agricultural science are pushing greater demand for advanced agricultural technologies. The Indian government has significantly assisted in the expansion and strengthening of India’s agricultural sector. The government is fostering the growth of agriculture through the Ministry of Agriculture through the implementation of a number of initiatives.
Owing to robust economic growth and continuing expansion in the agriculture sector, Asia-Pacific would be a potential market for players, prompting corporations to make substantial investments in the precision farming industry to sustain growth and increase productivity. Moreover, factors such as the massive move towards digital transformation, the increase in cloud deployment, the technical development of farming operations, and the ongoing modernization of the agriculture sector fuel substantial investment in emerging nations. Furthermore, increasing agricultural modernization in nations such as China, India, and Indonesia is one of the most significant regional developments. Thus, these elements are anticipated to generate attractive growth prospects for those who operate in the regional market.
The China market dominated the Asia Pacific Agriculture Analytics Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $293.5 million by 2030. The Japan market is registering a CAGR of 13.4% during (2023-2030). Additionally, The India market would showcase a CAGR of 14.8% during (2023-2030).
Based on Offering, the market is segmented into Solution and Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming and Others. Based on End-user, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers and Government Agencies & Others. Based on Farm Size, the market is segmented into Large Farms and Small & Medium-Sized Farms. Based on Technology, the market is segmented into Remote Sensing & Satellite Imagery, Geographic Information System, Robotics & Automation, Big Data & Cloud Computing, Visualization & Reporting, Blockchain Technology and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAP SE, Oracle Corporation, Accenture PLC, SAS Institute, Inc., Tetra Laval International S.A. (DeLaval), Deere & Company, Bayer AG, Iteris, Inc. and Trimble, Inc.
Increasing government initiatives to implement enhanced agricultural techniques is the main driver of growth factor for the market. In the agriculture industry, data volumes are expanding exponentially. Increasing adoption of Internet of Things (IoT) devices that collect data from connected farm equipment, such as smart tractors and drones, is also fueling the expansion of agriculture analytics. Crop cultivators and agribusiness actors recognize the potential for unearthing advancements in plant genomics, livestock management, soil health, and the accelerated development of new technologies based on big data and analytics.
Agriculture researchers are utilizing artificial intelligence and data science to conduct predictive analytics on farms before delivering actionable insights to farmers. The increasing subscription-based service model seeks to reduce costs for producers and provide them with real-time crop condition updates. In addition, predictive models and daily task optimization will give them complete control over their future harvest.
In order to keep the highest crop yield andquality to meet the nation’s growing demand for food, there is a growing demand for modern agricultural technologies. The increasing expenditures of the Indian government on research and development (R&D) projects to support advances in agricultural science are pushing greater demand for advanced agricultural technologies. The Indian government has significantly assisted in the expansion and strengthening of India’s agricultural sector. The government is fostering the growth of agriculture through the Ministry of Agriculture through the implementation of a number of initiatives.
Owing to robust economic growth and continuing expansion in the agriculture sector, Asia-Pacific would be a potential market for players, prompting corporations to make substantial investments in the precision farming industry to sustain growth and increase productivity. Moreover, factors such as the massive move towards digital transformation, the increase in cloud deployment, the technical development of farming operations, and the ongoing modernization of the agriculture sector fuel substantial investment in emerging nations. Furthermore, increasing agricultural modernization in nations such as China, India, and Indonesia is one of the most significant regional developments. Thus, these elements are anticipated to generate attractive growth prospects for those who operate in the regional market.
The China market dominated the Asia Pacific Agriculture Analytics Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $293.5 million by 2030. The Japan market is registering a CAGR of 13.4% during (2023-2030). Additionally, The India market would showcase a CAGR of 14.8% during (2023-2030).
Based on Offering, the market is segmented into Solution and Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming and Others. Based on End-user, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers and Government Agencies & Others. Based on Farm Size, the market is segmented into Large Farms and Small & Medium-Sized Farms. Based on Technology, the market is segmented into Remote Sensing & Satellite Imagery, Geographic Information System, Robotics & Automation, Big Data & Cloud Computing, Visualization & Reporting, Blockchain Technology and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAP SE, Oracle Corporation, Accenture PLC, SAS Institute, Inc., Tetra Laval International S.A. (DeLaval), Deere & Company, Bayer AG, Iteris, Inc. and Trimble, Inc.
Scope of the Study
By Offering
- Solution
- Services
By Agriculture Type
- Precision Farming
- Livestock Farming
- Aquaculture Farming
- Vertical Farming
- Others
By End-user
- Farmers
- Agronomists
- Agribusinesses
- Agricultural Researchers
- Government Agencies & Others
By Farm Size
- Large Farms
- Small & Medium-Sized Farms
By Technology
- Remote Sensing & Satellite Imagery
- Geographic Information System
- Robotics & Automation
- Big Data & Cloud Computing
- Visualization & Reporting
- Blockchain Technology
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- SAP SE
- Oracle Corporation
- Accenture PLC
- SAS Institute, Inc.
- Tetra Laval International S.A. (DeLaval)
- Deere & Company
- Bayer AG
- Iteris, Inc.
- Trimble, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market as a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific Agriculture Analytics Market by Offering
Chapter 6. Asia Pacific Agriculture Analytics Market by Agriculture Type
Chapter 7. Asia Pacific Agriculture Analytics Market by End User
Chapter 8. Asia Pacific Agriculture Analytics Market by Farm Size
Chapter 9. Asia Pacific Agriculture Analytics Market by Technology
Chapter 10. Asia Pacific Agriculture Analytics Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- IBM Corporation
- SAP SE
- Oracle Corporation
- Accenture PLC
- SAS Institute, Inc.
- Tetra Laval International S.A. (DeLaval)
- Deere & Company
- Bayer AG
- Iteris, Inc.
- Trimble, Inc.
Methodology
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